Coditude
IT / OT / IoT Data Integration Engineer
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Pimpri-Chinchwad, Maharashtra, India
Work mode:
Onsite
Published on:
3 September 2026
What they need
Phase: Initial phase (foundational for OT-heavy pilots)
Required experience: 6+ years in data integration, with 3+ years on OT / IoT or industrial data sources.
Role Summary Specialist role focused on bringing operational technology and IoT data into the platform. Handles the harder edge of integration: CCTV, intelligent building management systems, sensors, and industrial control data, bridging them into the IT data estate cleanly and securely.
Key Responsibilities
- Integrate IT, OT, and IoT data sources into the platform, including CCTV, sensors, and building management systems (chillers, power, access control).
- Build reliable ingestion for time-series and streaming telemetry from operational systems.
- Bridge OT protocols and data formats into standard platform interfaces.
- Work with facilities and operations stakeholders to map and validate OT data.
- Ensure security, segmentation, and governance appropriate to OT environments.
- Support the pilot use cases that depend on operational data.
Must-have Skills And Experience
- Experience integrating OT / IoT data sources in an industrial or building-systems context.
- Strong handling of time-series and streaming data (InfluxDB or similar).
- Understanding of intelligent building management systems and their data (chillers, power, access control).
- Familiarity with IT / OT convergence, security, and network segmentation concerns.
- Ability to work across MongoDB, PostgreSQL, and message/streaming layers.
Nice to have
- Experience with CCTV or video data pipelines.
- Exposure to industrial protocols (OPC UA, MQTT, Modbus, or similar).
- Edge computing or gateway experience.
Relevant stack InfluxDB, time-series stores, MQTT / OPC UA, CCTV feeds, building management systems, MongoDB, PostgreSQL, Redis. General attributes
- Proactive and self-driven, able to take ownership and move work forward without waiting to be told.
- AI-enabled in day-to-day work, comfortable using AI tools and copilots to accelerate delivery and quality.
- Strong self-learner who stays current with evolving tools, platforms, and practices.
- Good team player who collaborates well across engineering, operations, and stakeholder groups.
Required Skills MongoDB, PostgreSQL, message/streaming layers OT/IoT integration in industrial or building-systems context Time-series + streaming telemetry IT/OT convergence + security/segmentation
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